Position: Stop treating `AGI' as the north-star goal of AI research
Columbia University · University of Chicago · vijil · Tufts University · EPFL · Hugging Face · Google · Data & Society Research Institute · Worcester Polytechnic Institute · Rochester Institute of Technology · google · Eberhard-Karls-Universität Tübingen · Université Paris Dauphine - PSL · University of Illinois at Urbana-Champaign · AuCoDe
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摘要
The AI research community plays a vital role in shaping the scientific, engineering, and societal goals of AI research. In this position paper, we argue that focusing on the highly contested topic of 'artificial general intelligence' ('AGI') undermines our ability to choose effective goals. We identify six key traps---obstacles to productive goal setting---that are aggravated by AGI discourse: Illusion of Consensus, Supercharging Bad Science, Presuming Value-Neutrality, Goal Lottery, Generality Debt, and Normalized Exclusion. To avoid these traps, we argue that the AI research community needs to (1) prioritize specificity in scientific, engineering, and societal goals, (2) center pluralism about multiple worthwhile approaches to multiple valuable goals, and (3) foster innovation through greater inclusion of disciplines and communities. Therefore, the AI research community needs to stop treating ``AGI'' as the north-star goal of AI research.